Main
David Zhang
I have made visualizations viewed by hundreds of thousands of people, sped up query times for 25 terabytes of data by an average of 4,800 times, and built packages for R that let you do magic.
Education
Research assistant, part-time PhD, Bioinformatics
University College London
London, UK
Present - 2017
- Thesis: Using transcriptomics to improve the diagnosis rate of rare disease patients.
- The overaching goal of my PhD is to develop and apply statisical methods and software that improve the genetic diagnosis rate using RNA-sequencing. This involves detection of aberrant RNA-level events that can be used to complement next-generation DNA sequencing, to helping to resolve candidates of unknown significance.
MSc, Neuroscience
University College London
London, UK
2016 - 2015
- Thesis: The role of mitochondrial dysfunction in Xerodoma pigmentosum
- Grade: Merit (68%)
BSc, Biomedical science
University College London
London, UK
2015 - 2012
- Thesis:
- Grade: 2:1 (69%)
H.S.
Queen Elizabeth’s School
Barnet, UK
2012 - 2007
- Grade: Maths (A), Biology (A), Chemistry (A*), Sociology (A).
Research Experience
Honorary Researcher (2 months)
Johns Hopkins Bloomberg School of Public Health
Baltimore, MD, USA (remote)
2020 - 2020
- Collaboration with [Leonardo Collado-Torres[(http://lcolladotor.github.io/cv/) to…. employing the recount3 data
Research Technician
University College London
London, UK
2017 - 2016
- Used R and bash to investigate the effect of genetic variation on the age of onset of dementia and cognition within Down syndrome patients.
Industry Experience
I have worked in a variety of roles ranging from journalist to software engineer to data scientist. I like collaborative environments where I can learn from my peers.
Bioinformatician internship (3 months)
Verge Genomics
South San Francisco, CA, USA (remote)
2020 - 2020
- Detection of aberrant splicing events in complex disease patients.
Teaching Experience
I am passionate about education. I believe that no topic is too complex if the teacher is empathetic and willing to think about new methods of approaching task.
R fundamentals
Clinician Coders
London, UK
2020 - 2018
- Lead facilitator teaching R to Clinicians.
RNA-sequencing for diagnostics
Kings College London
London, UK
2020 - 2017
- Invited lecturer to graduate level students.
Developing Bioconductor Packages
University College London
Virtual Event
2020 - 2020
testthat: edition 3
rstats club
Virtual Event
2018 - 2018
- Talk regarding unit testing fundamentals, the importance of testing and new features released in the R package testthat edition 3.
Selected Data Science Writing
I regularly blog about data science and visualization on my blog LiveFreeOrDichotomize.
MAYBE SOME KAGGLE PROJECTS
TBA
TBA
2020 - 2020
- TO BE ADDED
Selected Publications, Posters, and Talks
Megadepth: efficient coverage quantification for BigWigs and BAMs
Bioinformatics
N/A
2020 - 2020
- Authored with Richard Single, Vanja Paunic, Mark Albrecht, and Martin Maiers.